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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: microsoft/swin-tiny-patch4-window7-224
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: ggergues/swin-tiny-patch4-window7-224-finetuned-eurosat
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
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+ probably proofread and complete it, then remove this comment. -->
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+
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+ # ggergues/swin-tiny-patch4-window7-224-finetuned-eurosat
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+
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+ This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 0.7532
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+ - Validation Loss: 0.1995
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+ - Validation Accuracy: 0.9352
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+ - Epoch: 0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
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+ - training_precision: float32
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+
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+ ### Training results
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+
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+ | Train Loss | Validation Loss | Validation Accuracy | Epoch |
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+ |:----------:|:---------------:|:-------------------:|:-----:|
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+ | 0.7532 | 0.1995 | 0.9352 | 0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - TensorFlow 2.10.1
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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+ "_name_or_path": "microsoft/swin-tiny-patch4-window7-224",
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.0,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "AnnualCrop",
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+ "1": "Forest",
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+ "2": "HerbaceousVegetation",
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+ "3": "Highway",
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+ "5": "Pasture",
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+ "6": "PermanentCrop",
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+ "7": "Residential",
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+ "8": "River",
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+ "9": "SeaLake"
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+ "initializer_range": 0.02,
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+ "layer_norm_eps": 1e-05,
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+ "mlp_ratio": 4.0,
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+ "model_type": "swin",
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+ "num_channels": 3,
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+ ],
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+ "num_layers": 4,
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+ "out_features": [
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+ "patch_size": 4,
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+ "path_norm": true,
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+ "qkv_bias": true,
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+ "stage_names": [
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+ "stage4"
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+ ],
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.36.2",
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+ "use_absolute_embeddings": false,
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+ "window_size": 7
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+ }
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